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Multi-species Conserved Sequences

Multi-species Conserved Sequences

Next-generation sequencing technologies have created large genomic databases of a variety of animals and plants. Ever since the human genome project was completed, scientists studied the genome of primates, mammals, and other phylogenetically distant living beings. Such large-scale studies have provided new insights into the evolutionary relationship between organisms.
Although the genome of each species varies greatly from each other, a few sequences are highly conserved. Such conserved...

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Updated: Apr 14, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

Published on: November 11, 2014

A single workflow for multi-species blood transcriptomics.

Elody Orcel¹, Hayat Hage¹, May Taha¹

¹BIOASTER, 40 Avenue Tony Garnier, Lyon, 69007, France.

|March 17, 2024

Summary

This summary is machine-generated.

This study introduces a standardized RNA sequencing workflow for blood samples, enabling reliable multi-species transcriptomic analysis for vaccine and drug development. This improves inter-species comparisons and biomarker discovery.

Keywords:

Blood samples Clinical models Data analysis Library preparation Preclinical models Quality controls RNA extraction Report Standardization Total RNA sequencing Transcriptomics Workflow

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Last Updated: Apr 14, 2026

Identification of Key Factors Regulating Self-renewal and Differentiation in EML Hematopoietic Precursor Cells by RNA-sequencing Analysis

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Published on: November 11, 2014

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Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Multiplexed Analysis of Retinal Gene Expression and Chromatin Accessibility Using scRNA-Seq and scATAC-Seq

Published on: March 12, 2021

Area of Science:

Genomics
Immunology
Pharmacology

Background:

Blood transcriptomic analysis offers insights into physiological states and immune responses to vaccines.
Current multi-species transcriptomic analysis faces technological challenges and lacks standardized workflows for inter-species comparison.

Purpose of the Study:

To develop a single, comprehensive total RNA sequencing (RNA-Seq) workflow for generating reliable blood transcriptomic data from humans and preclinical animal models.
To establish standardized criteria and thresholds for validating transcriptomic workflows across species.

Main Methods:

A complete RNA-Seq workflow was applied to blood samples from humans, rabbits, non-human primates, and mice.
Workflow performance was rigorously evaluated using multiple wet-lab and dry-lab metrics.
An automated data analysis pipeline was developed to streamline dataset validation.

Main Results:

The proposed workflow successfully generated reliable transcriptomic data across four species.
Key validation criteria and thresholds were identified for assessing workflow performance.
Automated analysis facilitated efficient validation of generated transcriptomic datasets.

Conclusions:

An end-to-end workflow was developed to enhance standardization and inter-species comparison in blood transcriptomics.
This standardized approach allows direct comparison of preclinical and clinical RNA sequencing data for vaccine and drug development.
The workflow facilitates the identification of biomarkers for monitoring drug safety and vaccine efficacy.